Data Platform Engineer (f/m/d)

Your mission We have challenging tasks for you: As a Data Platform Engineer, you will be responsible for building and evolving modern cloud platforms for Data & AI. Together with our team and our clients, you will develop platforms that can be operated in a scalable, secure, and sustainable manner. In doing so, you will combine cloud infrastructure, platform architecture, and modern Data & AI technologies into solutions that create a stable foundation for analytics, data engineering, and AI use cases. In detail, you will: • Design, build, and continuously evolve cloud-based Data & AI platforms • Develop platform strategies and target architectures together with our clients and implement them technically • Design scalable and robust platform architectures that serve as a foundation for data-driven solutions • Provision modern cloud infrastructures on Azure or AWS automatically using Infrastructure as Code • Work specifically with Terraform or OpenTofu as well as modern CI/CD processes • Design and evolve Databricks platforms regarding workspaces, compute, networking, identity, security, and governance • Make architecture decisions and establish best practices for performance, security, governance, scalability, and cost optimization • Develop reusable platform blueprints, standards, and automations • Evaluate new technologies and platform components and integrate them meaningfully into existing architectures • Support data, analytics, and AI teams by providing stable and high-performance platforms • Contribute to technical concepts, architecture workshops, and the further development of our standards together with our team Your profile What we are looking for You work in a structured manner, think in terms of platforms and architectures, and implement technical solutions cleanly and sustainably. Ideally, you bring to the table: • Sound experience in building modern cloud infrastructures and platform architectures • Excellent knowledge of at least one cloud platform, ideally Microsoft Azure or AWS • Experience with Infrastructure as Code, e.g., Terraform, OpenTofu, Bicep, or comparable technologies • A strong understanding of scalable, secure, and maintainable system and platform architectures • Experience with technologies in the Data & AI domain, particularly Databricks • Knowledge in areas such as cloud networking, identity & access management, security, and governance • Basic software development skills, e.g., with Python, as well as experience handling APIs and automation • Experience with Git and CI/CD • A solid understanding of the requirements that data, analytics, ML, and AI workloads place on a modern platform • A completed degree in Computer Science, Business Informatics, or a comparable qualification • The ability to quickly learn new technologies and apply them purposefully • A structured, self-reliant, and solution-oriented way of working • Very good German skills (C2) and good English skills What we would also be happy to see: • Experience with Databricks Unity Catalog and governance concepts • Experience with Azure Private Link, VNet Integration, or comparable AWS networking concepts • Knowledge of Azure DevOps, GitHub Actions, or comparable CI/CD solutions • Experience with Microsoft Fabric, Azure Data Factory, or other data platform technologies • Experience with Landing Zones, platform blueprints, or standardized cloud deployments • Experience in client projects and technical architecture workshops • Certifications in the context of Databricks, Azure, or AWS Why us? Are you looking to design and build modern Data & AI platforms in the cloud and actively shape the technical future for our clients? Do you think in terms of platforms and architectures, enjoy working hands-on with Infrastructure as Code, and want to create sustainable foundations for data and AI applications? What awaits you with us: High-end tech & genuine appreciation: • Modern Platform Engineering: You will design and automate scalable cloud Data & AI platforms on Azure or AWS. We rely on clean code (e.g., with Terraform/OpenTofu), CI/CD, and reusable platform blueprints—no quick-and-dirty hacks. • Databricks & Governance Excellence: Whether it's Unity Catalog, workspaces, cloud networking (such as Private Link), or Identity & Access Management—you will design secure, high-performance Databricks environments based on top best practices. • Steep Learning Curve toward Core Expertise: We actively support your growth from specialist to trusted advisor. Further certifications (e.g., Databricks, Azure, AWS) are fully covered by us! • Creative Freedom & Client Contact: You will develop target architectures, facilitate architecture workshops, and advise clients on equal footing during the implementation of their Data & AI strategies. • Best-in-Class Setup: Work with state-of-the-art cloud technologies, cutting-edge tools, and premium equipment. • Genuine Team Culture: International exchange, mutual support, and flat hierarchies. We collaborate on technical concepts and enjoy celebrating success together. • Work-Life Balance & Flexibility: We embrace flexible working models—depending on the team and department, our colleagues work hybrid or remote-only. For this role, a hybrid model with 2 fixed work-from-home days per week is preferred to achieve the ideal balance of focus time and personal interaction. In the case of an absolute perfect match, we are naturally open to a full-remote option. 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